Design of an agent-based learning environment for high-risk doorstep scam victims

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Doorstep scams are scams, often happening at the front door, in which a con artist has a convincing, but fraudulent, story with the purpose of coming into your house and/or stealing money. Various campaigns to educate people exist, but they do not focus on the verbal skills people can use to prevent themselves from becoming a victim. This paper describes the conceptual design of a proposed training application. This application will provide an agent-based learning environment for high-risk doorstep scam victims. In order to create a training application, field research has been done to the content and progress of doorstep scams, which is used to create interactive scenarios.

LanguageEnglish
Title of host publicationHighlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity
Subtitle of host publicationThe PAAMS Collection - International Workshops of PAAMS 2018, Proceedings
PublisherSpringer/Verlag
Pages335-347
Number of pages13
ISBN (Electronic)9783319947792
ISBN (Print)9783319947785
DOIs
StatePublished - 2018
Event16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameCommunications in Computer and Information Science
Volume887
ISSN (Print)1865-0929

Conference

Conference16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018
CountrySpain
CityToledo
Period20/06/1822/06/18

Fingerprint

Learning Environment
Conceptual Design
Conceptual design
Scenarios
Design
Training

Keywords

  • Interactive scenarios
  • Resilience training
  • Virtual agent-based learning

Cite this

van der Lubbe, L. M., Bosse, T., & Gerritsen, C. (2018). Design of an agent-based learning environment for high-risk doorstep scam victims. In Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings (pp. 335-347). (Communications in Computer and Information Science; Vol. 887). Springer/Verlag. DOI: 10.1007/978-3-319-94779-2_29
van der Lubbe, Laura M. ; Bosse, Tibor ; Gerritsen, Charlotte. / Design of an agent-based learning environment for high-risk doorstep scam victims. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Springer/Verlag, 2018. pp. 335-347 (Communications in Computer and Information Science).
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van der Lubbe, LM, Bosse, T & Gerritsen, C 2018, Design of an agent-based learning environment for high-risk doorstep scam victims. in Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Communications in Computer and Information Science, vol. 887, Springer/Verlag, pp. 335-347, 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018, Toledo, Spain, 20/06/18. DOI: 10.1007/978-3-319-94779-2_29

Design of an agent-based learning environment for high-risk doorstep scam victims. / van der Lubbe, Laura M.; Bosse, Tibor; Gerritsen, Charlotte.

Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Springer/Verlag, 2018. p. 335-347 (Communications in Computer and Information Science; Vol. 887).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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van der Lubbe LM, Bosse T, Gerritsen C. Design of an agent-based learning environment for high-risk doorstep scam victims. In Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings. Springer/Verlag. 2018. p. 335-347. (Communications in Computer and Information Science). Available from, DOI: 10.1007/978-3-319-94779-2_29